About Cerebras
Cerebras builds AI inference hardware centered on wafer-scale acceleration. It targets data centers and enterprises running large models, delivering high throughput and low-latency inference with the CS-4 accelerator.
Key Features
In practice, teams deploy Cerebras to run giant models with predictable latency at scale and straightforward deployment in data centers. The CS-4 stack combines a wafer-scale processor, bundled memory, and a tailored software layer to support model deployment at scale:
CS-4 Wafer-Scale Processor
A single chip with massive compute and memory that minimizes interconnect bottlenecks and supports large-batch inference.
Integrated Memory & High Bandwidth
Built-in memory and fast channels reduce data movement and latency during inference.
Software & SDK
Cerebras Graph Compiler and deployment tooling simplify converting and running large models on the CS-4 hardware.
Scale & Model Size Support
Optimized for ultra-large transformer models and dense attention workloads, enabling inference at scale without partitioning across GPUs.
Summary
Best for AI research teams, ML engineering groups, and production-scale inference in data centers.
